Docker Workflow
Augustine Tetteh Ozor
Cloud DevOps Engineer | 2x AWS Certified | AWS, Kubernetes, Docker, Terraform, Jenkins, and CI/CD Pipelines | AWS Community Builder
Cloud Whistler challenge and today ?????? 2 ???? 7, I am writing about docker workflow.
???????????? is a tool that lets you pack an app and everything it needs into a container, so it works the same way no matter where you run it. This container keeps the app separate from everything else, making sure it runs smoothly in any environment.
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Begin by writing your application using your preferred programming language and tools. After you have a functional application, create a Dockerfile. This Dockerfile is a simple text file that contains instructions for building a Docker image. It specifies the base image, installs necessary dependencies, copies your application code into the image, and defines the commands that should execute when the container starts.
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Next, use the Docker CLI (Command Line Interface) or tools like Docker Compose or a CI/CD system to build the Docker image from your Dockerfile. The resulting Docker image is a self-contained package that includes your application code, the runtime environment, and all dependencies needed to run the application.
$ ???????????? ?????????? -?? ??????????????????????????????????????:???????????? .
$ ???????????? ?????????? - This is the command to build a Docker image from a Dockerfile.
. - The period at the end specifies the current directory as the location where the Dockerfile and application code are located.
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After building the Docker image, you can create and run Docker containers from it. Containers are live instances of the Docker image, and each container can be started, stopped, and managed separately. You can run these containers on your local development machine or deploy them to production environments for use.
The command $ ???????????? ?????????????????? ?????? -?? -?? 8080:80 ??????????????????????????????????????:???????????? . is used to run a Docker container from an image. Here's what each part means:
$ ???????????? ?????????????????? ?????? - This command runs a new container based on the specified Docker image.
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???????? 4:???????????? ???????????? ????????????????????: Docker provides a set of commands to manage running containers. You can view running containers, stop containers, start stopped containers, and remove containers when they are no longer needed.
The docker ps command lists all running containers
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docker ps -a show all containers (default shows just running)
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docker stop stops a running container
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docker start starts a stopped container
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docker rm removes a container.
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When you run dokcer container --help you will see all the ways you can manage your command.
Step 5:?Use Docker Compose for multi-container applications:?Docker Compose is a tool for defining and running multi-container Docker applications. It uses a YAML file to define the services, networks, and volumes required for your application. With?Docker Compose, you can start and stop multiple containers at once, define network connections between them, and manage their configurations.
Step 6:?Publish and distribute Docker images:?Docker images can be published to a registry, such as Docker Hub or a private registry. Publishing your images allows others to use them or deploy them to different environments. You can also distribute your images by sharing the Docker image file or pushing it to a version control system.
$ docker push myregistry/myapp:latest
This command pushes the `myapp:latest` image to the `myregistry` registry.
Step 7:?Update and iterate:?As you continue to develop and enhance your application, you can iterate on your Docker image by updating the Dockerfile and rebuilding the image. This allows you to easily distribute and deploy new versions of your application.
#CloudWhistler #Cloudanaire #AWS
Technical Expert Resolving Complex Business Challenges | Technical Support Engineer Advancing to Solutions Architect | AWS | Enterprise Architecture | IT Strategy
6 个月I like this article.
AWS Certified Solutions Architect | Remote Support Engineer @ Philips | Technical Troubleshooting
6 个月Congratulations Augustine!
??? "Cloud Whistler" Visionary Cloud Advocate | Elevating IT with Resilient, Cost-effective Solutions | Driving Efficiency & Scalability | DevOps Automation
6 个月Very informative, another great article!
Linux System Administrator | AWS Cloud Enthusiast | Aspiring DevOps Engineer | Help Students in Career Building | Tech Blog Writer
6 个月Insightful and good information. Stay tuned.
Software Developer |AWS Certified | AWS Community Builder
6 个月Very informative.Thank you for sharing Augustine!